Background: Gait dysfunction or impairment is considered one of the most common and
devastating physiological consequences of stroke, and achieving optimal gait is a key goal …

This critical review considers the epistemological and historical background of the
theoretical construct of motor learning for a more differentiated understanding. More than …

Abstract Machine learning (ML) techniques such as (deep) artificial neural networks (DNN)
are solving very successfully a plethora of tasks and provide new predictive models for …

Over two decades ago, and raised theoretical concerns associated with traditional,
reductionist, and mechanistic perspectives of movement coordination and skill acquisition …

In two editions spanning more than a decade, The Electrical Engineering Handbook stands
as the definitive reference to the multidisciplinary field of electrical engineering. Our …

In this paper, the major assumptions of influential approaches to the structure of variability in
practice conditions are discussed from the perspective of a generalized evolving attractor …

Traditional learning approaches are typically based on a linear understanding of causality
where the same cause leads to the same effect. In recent years there has been increasing …

The purpose of this study was to identify the movement characteristics associated with
positive and negative emotions experienced during walking. Joy, contentment, anger …

Human gait is an attractive modality for recognizing people at a distance. In this paper we
adopt an appearance-based approach to the problem of gait recognition. The width of the …

The aim of this study was to examine whether it is possible to utilize the fluctuations in
human motor behaviour to induce a self-organizing process in the athlete, which takes …